PSI - Issue 83

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ScienceDirect

Procedia Structural Integrity 83 (2026) 72–78

© 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the ESIAM26 organizers Keywords: Self sensing; Smart roads; Peizoresistivity; Structural Health Monitoring; Conductive fillers Abstract Self-sensing cementitious composites (SSCCs) endow pavements with smart functionality, including strain and crack detection, thermal and moisture monitoring, and traffic/load sensing, by incorporating conductive fillers such as carbon nanotubes, carbon black, graphene derivatives, and steel or other metallic fibers. These capabilities are drawing strong interest for next-generation, eco-efficient, serviceable, reliable, and durable pavement systems that enhance traffic safety and operational efficiency. Reported applications cover structural health monitoring, traffic detection and weigh-in-motion, surface-condition sensing (temperature, moisture, icing), durability/damage evaluation, and maintenance planning. This paper reviews recent advances in SSCCs for cementitious composites and pavement applications, with emphasis on the materials employed, the resulting mechanical strength, and their combined effects on electrical resistivity and conductivity. The fourth European Conference on the Structural Integrity of Additively Manufactured Materials (ESIAM26) Self-Sensing Cementitious Composites for Smart Road Infrastructure Samia M. Mohamed a , Shayiq Rashid a , Asad Hanif a,b,* a Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia b Interdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

* Corresponding author. Tel.: +966-13-8603630; fax: +0-000-000-0000 . E-mail address: asad.hanif@kfupm.edu.sa; ahanif@connect.ust.hk

2452-3216 © 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the ESIAM26 organizers 10.1016/j.prostr.2026.07.009